This study seeks to establish a mechanism for orchestrating secure access to data hosted in EGA, whether in its central instance or any federated nodes, from a Galaxy instance. To guarantee the proper management of sensitive data, data will be encrypted at any time, with decryption occurring solely during analysis within the secure compute backend. The ultimate goal of this study is to generate encrypted data result outputs exclusively accessible to end-users within the Galaxy user interface.
This year’s OHDSI Europe Symposium will bring together over 300 researchers, data scientists, healthcare professionals, and policymakers for an outstanding opportunity to connect, learn, and contribute to the expanding OHDSI Europe community.
The program includes:
More information about this event will be available soon.
The ATCR Meeting brings together scientists, clinicians, and industry leaders to explore the latest in T-cell research, with a focus on high-throughput sequencing technologies. These powerful tools have become essential for uncovering new insights into the human immune system, particularly the pivotal role of T-cells in infectious diseases, vaccine development, cancer, and autoimmune disorders.
This study addresses the limitations of current ontologies in capturing the dynamic nature of disordered protein regions by pursuing several primary objectives.
This is a course that gently introduces programming to new programmers over a 4 meetings with the trainers in class, and the afternoon for self-paced extra activities and doubts , afternoons interactions are optional but encouraged. There are plenty of opportunities to practice what you learn and ask questions in a safe place. Furthermore, surprise yourself by building a substantial project.
In this course, you will be guided how to use the different facets of research data management in order to improve the writing of your publications and potentially increase its impact.
Starting from basic concepts together with hands-on activities and discussions, you will learn how to standardise, document and submit your data in a repository and how this will help you to underpin your publication.
This training will allow you to brainstorm the challenges and solutions of data analysis reproducibility. You will have the chance to brainstorm, discuss and use your creativity to solve real life projects in group. Regardless of your background and level of expertise this is a great opportunity of exchange, improving critical thinking, problem solving and exchange with experts. After a morning of exchange you will have the chance to hear the how the experts have tackled each challenge and to ask questions to discover more about their thinking process.
Objectives
You will learn how to use Nextflow for building scalable and reproducible bioinformatics pipelines and running them on a personal computer, cluster and cloud. Starting from the basic concepts we will build our own simple pipeline and add new features with every step, all in the new DSL2 language.
Objectives
The course will give an introduction to containers (Docker & Singularity) which are great components to achieve portability and reproducibility of your analysis. You will learn how to use containers and how to build a container from scratch, share it with others and how to re-use and modify existing containers. After an extensive explanation on Docker containers, Singularity will be highlighted as well.
Objectives